Fast approximate posterior inference for modeling disease dynamics via state-space models

@article{meini2026,
  title        = {{Fast approximate posterior inference for modeling disease dynamics via state-space models}},
  author       = {Meini Tang & Raquel Prado},
  journal      = {Computational Statistics and Data Analysis},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.csda.2026.108368},
}

TY  - JOUR
TI  - Fast approximate posterior inference for modeling disease dynamics via state-space models
AU  - Tang, Meini
AU  - Prado, Raquel
JO  - Computational Statistics and Data Analysis
PY  - 2026
ER  -

Meini Tang & Raquel Prado (2026). Fast approximate posterior inference for modeling disease dynamics via state-space models. *Computational Statistics and Data Analysis*. https://doi.org/https://doi.org/10.1016/j.csda.2026.108368

Meini Tang & Raquel Prado. "Fast approximate posterior inference for modeling disease dynamics via state-space models." *Computational Statistics and Data Analysis* (2026). https://doi.org/https://doi.org/10.1016/j.csda.2026.108368.

Fast approximate posterior inference for modeling disease dynamics via state-space models
Meini Tang & Raquel Prado · Computational Statistics and Data Analysis · 2026
https://doi.org/https://doi.org/10.1016/j.csda.2026.108368